EAI Endorsed Transactions on Creative Technologies

Issue 3, 2022

Articles
Information

TailorEd: Classroom Configuration and Activity Identifiers (CCID & CAID)
Appears in:
ct 22(3): e1

Authors:
Andres Calle, Quan Nguyen, Kristin Lee, Julia Voss, Navid Shaghaghi

Abstract:
INTRODUCTION: The study of how classroom layout and activities affect learning outcomes of students with different demographics is difficult because it is hard to gather accurate information on the minute by minute progression of every class in a course. Furthermore, the process of data gathering m…INTRODUCTION: The study of how classroom layout and activities affect learning outcomes of students with different demographics is difficult because it is hard to gather accurate information on the minute by minute progression of every class in a course. Furthermore, the process of data gathering must produce an abundance of data to work with and hence must be automated.

OBJECTIVES: A machine learning model trained on images of a classroom and thus capable of accurately labeling the classroom layout and activity of many thousands of images much faster and cheaper than employing a human.

METHODS: Transfer learning can allow for preexisting computer vision models to be retrained on a smaller, more specific dataset in order to still achieve a highly accurate result.

RESULTS: In the case of the classroom layout, the final model achieved an accuracy of 97% on a four category classification. And for detecting the classroom activity, after experimentation with several different versions that could work on a very small sample sizes, the best model achieved an accuracy of 86.17%.

CONCLUSION: In addition to showing that using computer vision to determine human activities is possible albeit more difficult than layouts of inanimate objects such as classroom desks, the study shows the differences between the use of self-supervised learning techniques and data augmentation techniques in order to overcome the problem of small training data-sets.
more »
Integrating the Fairlight CVI into the video workflow
Appears in:
ct 22(3): e2

Author:
D.J.E. Nunn

Abstract:
The Fairlight Computer Video Instrument (CVI) is one of the earliest video synthesisers, released in 1984. Over time the aesthetic of its effects has evolved from revolutionary to retro. Although MIDI was developed at around the same time, the CVI is controllable via RS232 rather than MIDI. This pa…The Fairlight Computer Video Instrument (CVI) is one of the earliest video synthesisers, released in 1984. Over time the aesthetic of its effects has evolved from revolutionary to retro. Although MIDI was developed at around the same time, the CVI is controllable via RS232 rather than MIDI. This paper reviews its history and applications in live and studio-based video production environments. A method is outlined for controlling the CVI that allows sequencing of control data, effect automation, and integration with a digital audio workstation. Results are presented from a system using Logic Pro X for sequencing and Processing for MIDI-serial conversion.
more »
Movie Recommender System using Machine Learning
Appears in:
ct 22(3): e3

Author:
Sonika Malik

Abstract:
In this research, we propose a movie recommender system that can recommend movies to both new and existing customers. It searches movie databases for all of the relevant data, such as popularity and beauty that is required for a recommendation. We apply both content-based and collaborative filterin…In this research, we propose a movie recommender system that can recommend movies to both new and existing customers. It searches movie databases for all of the relevant data, such as popularity and beauty that is required for a recommendation. We apply both content-based and collaborative filtering and evaluate their advantages and disadvantages. To build a system that delivers more exact movie recommendations, we employ hybrid filtering, which is a combination of the outcomes of these two processes. The recommendation engines are also used for business purposes and to make strategies for organizations. Due to the growing demands of customers and user’s recommendation systems plays a huge role. These recommender systems also help us to utilize our time in the busy world by giving us more relevant searches. These systems are generally used with the movie’s websites or with many commercial applications and are of great use. This type of recommendation system can be also used for precise results. It will make movies suggestions more relevant as per the need of the users.
more »
Techniques For Reducing Energy And Delay For Data Aggregation In Wireless Sensor Networks
Appears in:
ct 22(3): e4

Authors:
Muhammad Shoaib Akhtar, Tao Feng

Abstract:
WSN have many applications in different fields like medical, military, health and agriculture, etc., due to its data sensing and gathering abilities to Base station. The main issue in wireless sensor network is energy efficiency under consideration of QOS parameter like delay and security. Many of …WSN have many applications in different fields like medical, military, health and agriculture, etc., due to its data sensing and gathering abilities to Base station. The main issue in wireless sensor network is energy efficiency under consideration of QOS parameter like delay and security. Many of techniques have been proposed in literature but few work on energy efficient network with QOS. Due to lack of prior research in this area of study, this research will optimize the existing result in manner of giving efficient energy mechanisms and will also provide QOS as well as reduction of delay. It is very important to calculate energy efficiency and data transmission rate in wireless sensor networks because it is widely used in every field of life, especially when we are talking about medical, military and navigation system. After identifying main issues, this research will focus on energy efficiency and delay reduction. But other factors like security and average transmission time is not fully focused.
more »
AI_deation: A Creative Knowledge Mining Method for Design Exploration
Appears in:
ct 22(3): e5

Authors:
George Palamas, Alejandra Mesa Guerra, Liana-Dorina Møsbæk

Abstract:
Ideation is a core activity in the design process which begins with a design brief and results in a range of design concepts. However, due to its exploratory nature it is challenging to formalise computationally. Here, we report a creative knowledge mining method that combines design theory with a …Ideation is a core activity in the design process which begins with a design brief and results in a range of design concepts. However, due to its exploratory nature it is challenging to formalise computationally. Here, we report a creative knowledge mining method that combines design theory with a machine learning approach. This study begins by introducing a graphic design style classification model that acts as a model for the aesthetic evaluation of images. A Grad-CAM technique is used to visualise where our model is looking at in order to detect and interpret visual syntax, such as geometric influences and color gradients, to determine the most influential visual semiotics. Our comparative analysis on two Nordic design referents suggests that our approach can be efficiently used to support and motivate design exploration. Based on these findings, we discuss the prospects of machine vision aided design systems to envisage concepts and possible design paths, but also to support educational objectives.
more »

Scope

EAI Endorsed Transactions on Creative Technologies is open access, a peer-reviewed scholarly journal focused on a whole industrial project or framework integrating creative technologies, creative content management, and more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a quarterly frequency (four issues per year). Authors are not charged for article submission and processing.

Topics

The journal is not limited to only specific aspects of creative technologies but also open to considering the high-level and innovative contributions from a wide range of subfields, especially articles of interdisciplinary nature.

Some of the journal topics are:

Creative Industries - the pape…

Some of the journal topics are:

Creative Industries - the paper can describe a whole industrial project or framework integrating creative technologies for domains such as:

Creative content providers: TV & radio (broadcast, linked media), fashion (RFID and sensors, energy recycling), music & movies, books (digitization, sonification), museums (creative/artistic installations for tourism or cultural heritage) and media archives, etc.
Creative services providers: Advertising (user-centered web and ads optimization), design (communication devices for creative environments), architecture (places that adapt to people, creativity from domotics), new media and transmedia, etc.
Creative experience providers: Movies and music experience, game-based installations and playable media (participative creation, DJs and VJs creative tools), interactive social and urban spaces, etc.

Scientific topics - the paper can focus on scientific tools for creative industries on topics such as:

Creative content management: Multimedia data mining and innovative browsing, data 2D/3D visualization, digitization and storage, cultural heritage, etc.
Creative interactions: Social signal processing, verbal and nonverbal, explicit or implicit interactions, interacting robots, sensors and MoCap, human-computer interaction, user interface design, serious game etc.
Creative experiences: Affective content analysis and synthesis, immersive technologies, special effects, augmented reality, expressivity and emotion detection and processing, user experiences, etc.

Additional materials such as videos of installations and setups, public/users reactions and comments, or demo links are welcome.

DOAJ
DBLP
CrossRef
EBSCO Discovery Service
[OCLC Discovery Services](https://www.worldcat.org/title/e…

Special Issues

Call for Papers: ICDM 2021 (Manuscript submission deadline: 2021-10-15; Notification of acceptance: 2021-12-10; Submission of final revised paper: 2022-01-21; Publication of special issue (tentative): 2022-02-04)

Lead Guest Editor: Prof Dr. Mohd Sha…

Lead Guest Editor: Prof Dr. Mohd Shahrizal Sunar (Universiti Teknologi Malaysia) Guest Editor: Dr. Goh Eg Su (Universiti Teknologi Malaysia) Guest Editor: Ruhiyati Idayu Abu Talib (Universiti Teknologi Malaysia)

Albert Ali Salah (Bogazici University, Turkey)
Anthony Brooks (SensoramaLab, Aalborg University Esbjerg, Denmark)
Anton Nijholt (University of Twente, Netherlands)
Antonio Camurri (DIST-University of Genova, Italy)
Antonio Camurri (University of Genoa, Italy)
Christophe d'Alessandro (LI…

Albert Ali Salah (Bogazici University, Turkey)
Anthony Brooks (SensoramaLab, Aalborg University Esbjerg, Denmark)
Anton Nijholt (University of Twente, Netherlands)
Antonio Camurri (DIST-University of Genova, Italy)
Antonio Camurri (University of Genoa, Italy)
Christophe d'Alessandro (LIMSI-CNRS, France)
Christophe Hurter (ENAC, French Civil Aviation University, Toulouse France)
Cristina Sylla (University of Minho, Portugal)
Dirk Heylen (University of Twente, Netherlands)
Eva Irene (Aalborg University, Denmark)
Fabrizio Lamberti (Politecnico di Torino, Italy)
Gualtiero Volpe (University of Genoa, Italy)
Insook Choi (Columbia College Chicago, USA)
Jesus Ibanez (Escola Municipal d'Art i Disseny (EMAiD), Spain)
Jonathan Duckworth (RMIT University, Australia)
Jorge C. S. Cardoso (University of Coimbra, Portugal)
Jun Hu (Eindhoven University of Technology, Netherlands)
Lau Bee Theng (Swinburne University of Technology Sarawak Campus, Malaysia)
Mel Krokos (University of Portsmouth, United Kingdom)
Michail Kalogiannakis (Faculty of Education, University of Crete, Greece)
Milton Luiz Horn Vieira (Federal University of Santa Catarina, Brazil)
Mikkel Kirkedahl Lysholm Nielsen (Aalborg University, Denmark)
Pedro Campos (ITI/Larsys, University of Madeira, Funchal, Portugal)
Pieter Jan Maes (McGill University, Canada)
Rainer Malaka (University of Bremen, Germany)
Radu-Daniel Vatavu (University of Suceava, Romania)
Robin Bargar (Columbia College Chicago, USA)
Robby van Delden (University of Twente, Netherlands)
Sudarshan Khanna (National Institute of Design, India)
Surabhi Khanna (National Institute of Design Haryana, India)
Thierry Dutoit (University of Mons, Belgium)
Tiago Cardoso (University Nova of Lisbon, Portugal)
Tracy Harwood (De Montfort University, Leicester, United Kingdom)
Vincent Courboulay (University of La Rochelle, France)
Valentina Nisi (University of Madeira, Portugal)
Yves Rybarczyk (University Nova of Lisbon, Portugal)
Mohd Shahrizal Sunar (Universiti Teknologi, Malaysia)

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/ct/index

Publisher: EAI
ISSN: 2409-9708
Volume: 9

Published: 2022-11-23

TailorEd: Classroom Configuration and Activity Identifiers (CCID & CAID)

Integrating the Fairlight CVI into the video workflow

Movie Recommender System using Machine Learning

Techniques For Reducing Energy And Delay For Data Aggregation In Wireless Sensor Networks

AI_deation: A Creative Knowledge Mining Method for Design Exploration

About EAI

Community

Publish with EAI